From Biometric Scores to Forensic Likelihood Ratios

  • Daniel Ramos
  • Ram P. Krish
  • Julian Fierrez
  • Didier Meuwly
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)


In this chapter, we describe the issue of the interpretation of forensic evidence from scores computed by a biometric system. This is one of the most important topics into the so-called area of forensic biometrics. We will show the importance of the topic, introducing some of the key concepts of forensic science with respect to the interpretation of results prior to their presentation in court, which is increasingly addressed by the computation of likelihood ratios (LR). We will describe the LR methodology, and will illustrate it with an example of the evaluation of fingerprint evidence in forensic conditions, by means of a fingerprint biometric system.


Likelihood Ratio Reference Specimen Biometric System Source Level Evidence Evaluation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Daniel Ramos
    • 1
  • Ram P. Krish
    • 1
  • Julian Fierrez
    • 1
  • Didier Meuwly
    • 2
    • 3
  1. 1.ATVS - Biometric Recognition Group, Escuela Politecnica SuperiorUniversidad Autonoma de MadridMadridSpain
  2. 2.Netherlands Forensic InstituteThe HagueThe Netherlands
  3. 3.University of TwenteEnschedeThe Netherlands

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